Big Data Architect

General Mills
General Mills

Job Overview

Overview Responsibilities Technology at General Mills accelerates process transformation and business growth around the globe. To achieve business success, the Digital Technology team uses leading edge technology, innovative thinking and agile processes. One of our General Mills’ key technology priorities is driving business action through connected data. The General Mills Data and Analytics organization currently uses a big data platform based on Cloudera Hadoop as part of a strategic Data Lake program, to advance the data-driven decision making capabilities of our enterprise. New investments in cloud platforms are also in the works as we strive to be a data leader. If you are an agile learner, have strong problem solving skills and are able to function as part of a highly technical, cross functional team, we would like to hear from you. General Mills is seeking a Big Data Architect with Hadoop andor Google Cloud Services experience to act as a key technical leader in our Data and Analytics organization. Act as a key Data Analytics technical leader within General Mills Collaboratively develop the technology capability roadmap for the General Mills big data ecosystem Lead the design and implementation of sustainable tools processes to support the big data ecosystem Generate and implement your own ideas on how to improve the operational and strategic health of big data ecosystem Participate in the evaluation, implementation and deployment of emerging tools process in the big data space. Develop communication education plans for technical teams on technologies and processes in our big data ecosystem Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Collaboratively troubleshoot technical and performance issues in the big data ecosystem dice cb Qualifications MINIMUM QUALIFICATIONS Bachelor’s Degree required Computer Science, MIS, or Engineering preferred Minimum 5 years of IT experience, 7+ preferred 3 year of hands-on experience with the technologies in the Hadoop ecosystem Experience working directly with business clients to design a solution that meets business requirements ability to clearly articulate pros and cons of various technologies and platforms and architectural options, as well as being able to document use cases, solutions and recommendations. Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. Database development experience using Oracle, SQL Server, SAP BW or SAP HANA Big Data Development experience using Hive andor Spark Effective verbal and written communication and influencing skills. Effective analytical and technical skills. Ability to work in a team environment Ability to research, plan, organize, lead, and implement new processes or technology PREFERRED QUALIFICATIONS Experience in Google Cloud Services Python, Scala or Java development experience Familiarity with Kafka Familiarity with the Linux operating system Experience with agile techniques or methodsBig Data Architect 1

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